BibTeX records: Clemens Mewald

• > Home > Persons > Clemens Mewald

@inproceedings{DBLP:conf/sigmod/ChenCDD0HKMMNOP20,
  author       = {Andrew Chen and
                  Andy Chow and
                  Aaron Davidson and
                  Arjun DCunha and
                  Ali Ghodsi and
                  Sue Ann Hong and
                  Andy Konwinski and
                  Clemens Mewald and
                  Siddharth Murching and
                  Tomas Nykodym and
                  Paul Ogilvie and
                  Mani Parkhe and
                  Avesh Singh and
                  Fen Xie and
                  Matei Zaharia and
                  Richard Zang and
                  Juntai Zheng and
                  Corey Zumar},
  editor       = {Sebastian Schelter and
                  Steven Whang and
                  Julia Stoyanovich},
  title        = {Developments in MLflow: {A} System to Accelerate the Machine Learning
                  Lifecycle},
  booktitle    = {Proceedings of the Fourth Workshop on Data Management for End-To-End
                  Machine Learning, In conjunction with the 2020 {ACM} {SIGMOD/PODS}
                  Conference, DEEM@SIGMOD 2020, Portland, OR, USA, June 14, 2020},
  pages        = {5:1--5:4},
  publisher    = {{ACM}},
  year         = {2020},
  url          = {https://doi.org/10.1145/3399579.3399867},
  doi          = {10.1145/3399579.3399867},
  timestamp    = {Mon, 05 Feb 2024 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/sigmod/ChenCDD0HKMMNOP20.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/opml/BaylorHKLLMMPTZ19,
  author       = {Denis Baylor and
                  Kevin Haas and
                  Konstantinos Katsiapis and
                  Sammy Leong and
                  Rose Liu and
                  Clemens Mewald and
                  Hui Miao and
                  Neoklis Polyzotis and
                  Mitchell Trott and
                  Martin Zinkevich},
  editor       = {Bharath Ramsundar and
                  Nisha Talagala},
  title        = {Continuous Training for Production {ML} in the TensorFlow Extended
                  {(TFX)} Platform},
  booktitle    = {2019 {USENIX} Conference on Operational Machine Learning, OpML 2019,
                  Santa Clara, CA, USA, May 20, 2019},
  pages        = {51--53},
  publisher    = {{USENIX} Association},
  year         = {2019},
  url          = {https://www.usenix.org/conference/opml19/presentation/baylor},
  timestamp    = {Tue, 02 Feb 2021 08:04:58 +0100},
  biburl       = {https://dblp.org/rec/conf/opml/BaylorHKLLMMPTZ19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/kdd/BaylorBCFFHHIJK17,
  author       = {Denis Baylor and
                  Eric Breck and
                  Heng{-}Tze Cheng and
                  Noah Fiedel and
                  Chuan Yu Foo and
                  Zakaria Haque and
                  Salem Haykal and
                  Mustafa Ispir and
                  Vihan Jain and
                  Levent Koc and
                  Chiu Yuen Koo and
                  Lukasz Lew and
                  Clemens Mewald and
                  Akshay Naresh Modi and
                  Neoklis Polyzotis and
                  Sukriti Ramesh and
                  Sudip Roy and
                  Steven Euijong Whang and
                  Martin Wicke and
                  Jarek Wilkiewicz and
                  Xin Zhang and
                  Martin Zinkevich},
  title        = {{TFX:} {A} TensorFlow-Based Production-Scale Machine Learning Platform},
  booktitle    = {Proceedings of the 23rd {ACM} {SIGKDD} International Conference on
                  Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13
                  - 17, 2017},
  pages        = {1387--1395},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3097983.3098021},
  doi          = {10.1145/3097983.3098021},
  timestamp    = {Fri, 25 Dec 2020 01:14:16 +0100},
  biburl       = {https://dblp.org/rec/conf/kdd/BaylorBCFFHHIJK17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@inproceedings{DBLP:conf/kdd/ChengHHIMPRSSST17,
  author       = {Heng{-}Tze Cheng and
                  Zakaria Haque and
                  Lichan Hong and
                  Mustafa Ispir and
                  Clemens Mewald and
                  Illia Polosukhin and
                  Georgios Roumpos and
                  D. Sculley and
                  Jamie Smith and
                  David Soergel and
                  Yuan Tang and
                  Philipp Tucker and
                  Martin Wicke and
                  Cassandra Xia and
                  Jianwei Xie},
  title        = {TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level
                  Machine Learning Frameworks},
  booktitle    = {Proceedings of the 23rd {ACM} {SIGKDD} International Conference on
                  Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13
                  - 17, 2017},
  pages        = {1763--1771},
  publisher    = {{ACM}},
  year         = {2017},
  url          = {https://doi.org/10.1145/3097983.3098171},
  doi          = {10.1145/3097983.3098171},
  timestamp    = {Tue, 06 Nov 2018 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/kdd/ChengHHIMPRSSST17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{DBLP:journals/corr/abs-1708-02637,
  author       = {Heng{-}Tze Cheng and
                  Zakaria Haque and
                  Lichan Hong and
                  Mustafa Ispir and
                  Clemens Mewald and
                  Illia Polosukhin and
                  Georgios Roumpos and
                  D. Sculley and
                  Jamie Smith and
                  David Soergel and
                  Yuan Tang and
                  Philipp Tucker and
                  Martin Wicke and
                  Cassandra Xia and
                  Jianwei Xie},
  title        = {TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level
                  Machine Learning Frameworks},
  journal      = {CoRR},
  volume       = {abs/1708.02637},
  year         = {2017},
  url          = {http://arxiv.org/abs/1708.02637},
  eprinttype    = {arXiv},
  eprint       = {1708.02637},
  timestamp    = {Mon, 13 Aug 2018 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-1708-02637.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}